Ask Lemmy

How a brain that works and learns (differently) since inception (creating new paths between neurons or strenghtening paths, adapting to every touch, sound, temperature, body position, smell and image it ever experiences) different from multiple matmuls that calculate an optimization path based on dual numbers (to get the gradient to descend) and different path seeking algorithms like ADAM?

Idk, but I think that it has a different way of learning and being, a child learns by being with others, it experiences things, their brains are wired in such a way to learn those things, they make errors and are corrected, so they learn to not make things up or they start to make things up on their own on what they learned, there isn't a model on what there is to be learned, there isn't a focus, just living. Machine learning algorithms learn by trying to predict the next token (not even learning wrong things and getting corrected, its like those kids who when they don't know something they just make something up, not having learned to be wrong), the optimal way to guess a color on a upscaled image, to denoise a image to match a prompt, etc. These are very different in my understanding.

I believe (in 5 trillion years) that if wires could be wired in such a way to reorganize themselves based on simply by existing, like our brains, not matmul*100 trillion, these wires being a "robot" brain and the "robot" just being and being teached by a society that sees this "robot" like any person we see today, I believe this "robot" would turn out to be just like a person. Our brain is physical, with nothing special about it, if it takes another form, like the "robot" brain, it would behave in the same way.

So, in my idiotic opinion, the scope of the thing, what is the relation with the environment, what it does, how it does, makes it different than what a person would do, be, etc. I'm probably 300% wrong, so yeah.